Purpose -The objective of this study is to provide a support tool for managers to identify future business opportunities.Design/methodology/approach -The proposed model consists of eight-steps. For the first step the authors propose two studies: trends analysis and change drivers' identification; these help to identify the most relevant trends in areas that may affect the business activities. All this information is put into a Delphi process with the help of experts in order to find the common denominator of where the future is going; afterwards, with this information, the authors can build events and scenarios for the business opportunities. Then, a diagnostic of the study area, sector or organization through the dynamic diagnostic methods is performed. Findings -Once the opportunities have been identified, a strategic analysis that allows decision making to prioritize and define the activities or projects that may be achievable in the future is done, and the result of the process is a portfolio of business opportunities projects fully defined and ready to be planned with a roadmap.Originality/value -The proposed model allows the managers to consistently organize their development processes targeted to real business opportunities.
The export dynamics of industrial activities in the country is analyzed by estimating regional indicators of productivity, sophistication and use of network analysis to mp exporting industries space. The results show that products related to the manufacturing sector, specifically the Transportation Industry, have a higher level of sophistication. The regions with the most connectivity between industries are the Border and the Central Bajío. This study may contribute to the design of public policies, supporting the development of productive chains with greater proximity in industry space.
La industria aeroespacial (IA) en México es considerada estratégica por las posibilidades que ofrece al empresariado nacional de insertarse en su cadena de proveeduría. Por sus especificidades productivas necesita desarrollar proveedores mediante externalidades que requieren colocación empresarial. Esta investigación utiliza el estadístico Colocación Quotient (CLQ) en cinco entidades mexicanas para detectar patrones de colocación espacial en aglomeraciones de la IA. Los resultados señalan su atracción espacial por empresas del mismo sector, así como de electrónica, maquinaria y equipo. Adicionalmente, se observan diferencias en los patrones detectados respecto a las capacidades productivas señaladas por entidad, lo que proporciona insumos para el diseño de política industrial.
Este artículo examina la naturaleza de los patrones de aglomeración de las empresas y establecimientos pertenecientes a la industria creativa. En él se realiza un análisis exploratorio de su distribución espacial resaltando la importancia de las formas de aglomeración y su grado de concentración en el Área Metropolitana de Monterrey (AMM). Mediante el uso de técnicas de estadística espacial, se determinaron aglomeraciones (clusters) de empresas de acuerdo a su tamaño y actividad económica. Los resultados permiten identificar clusters espaciales de empresas que no se encuentran distribuidas aleatoriamente, sino que presentan un fuerte patrón de concentración en la zona central del espacio urbano. Este trabajo contribuye a un mejor entendimiento de las zonas urbanas creativas y constituye una fuente de información para la formulación de políticas públicas dirigidas a la creación de sectores innovadores basados en el conocimiento.AbstractThis article examines the nature of cluster patterns of firms and establishments that belong to the creative industry. An exploratory analysis of spatial distribution is performed highlighting the importance of cluster forms and their concentration in the Monterrey Metropolitan Area (MMA). By using spatial statistical techniques, clusters of firms were determined according to their size and economic activity. The results allow identifying spatial clusters of firms that are not randomly distributed, but show a strong pattern of concentration in the central area of the urban space. This study contributes to a better understanding about creative urban spaces and provides a source of information for the formulation of public policies aimed at forging innovative knowledge-based sectors.
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